Hunt

🚀 Inspiration

We didn’t start with code — we started with a problem.

Firmware is everywhere — routers, cameras, smart TVs, even medical devices. But unlike apps or websites, firmware is rarely inspected properly. It’s a black box.

What really hit us was this: millions of devices run outdated and vulnerable software, and no one even knows it’s there.

Existing tools are either:

Too complex Require emulation or execution Or don’t provide actionable insights

That’s where the idea came from: What if we could scan firmware like a hacker — but safely, instantly, and intelligently?

🧠 What We Learned

This project pushed us beyond just coding.

We learned how firmware is structured internally Understood how vulnerabilities are tracked using CVEs and CVSS scoring Explored static analysis techniques using tools like binwalk Integrated AI to extract meaning from unstructured binary data Learned how to design a system that is both technical and explainable

Most importantly, we learned that: finding a vulnerability is easy — explaining it and fixing it is what really matters.

⚙️ How We Built It

We designed the system as a clean, modular pipeline:

Frontend (React + Tailwind) Simple upload interface Dashboard for vulnerabilities and reports Backend (FastAPI) Handles firmware upload and processing Acts as the central control layer Static Analysis Engine Extracts firmware using tools like binwalk Identifies binaries, packages, and file systems AI Processing Layer Detects software names and versions from extracted data Handles messy, unstructured outputs CVE Mapping Engine Matches detected components with real vulnerabilities from the National Vulnerability Database Risk & Fix Engine Prioritizes vulnerabilities using CVSS scores Generates actionable fix recommendations

The entire system works without executing firmware, making it fast, safe, and scalable.

⚔️ Challenges We Faced

No real project is smooth — and honestly, that’s where the learning happened.

🔹 1. Handling Raw Firmware Data

Firmware isn’t clean like JSON or APIs. It’s messy, binary, and unpredictable.

👉 Solution: We used extraction tools + AI to structure the chaos.

🔹 2. Version Detection Accuracy

Finding exact software versions inside firmware was tricky.

👉 Solution: We built logic to combine pattern matching with AI interpretation.

🔹 3. CVE Mapping Complexity

One component can map to multiple vulnerabilities.

👉 Solution: We created a prioritization system based on:

CVSS score severity exploitability 🔹 4. Making Output Useful (Not Just Technical)

Most tools dump raw vulnerability data — not helpful for real users.

👉 Solution: We focused on:

Clean UI Clear explanations Exact fix suggestions 🌍 What This Means

This project is more than a tool — it’s a shift in how firmware security is approached.

Instead of: ❌ Manual inspection ❌ Late detection ❌ Reactive security

We move to: ✅ Automated analysis ✅ Early detection ✅ Actionable intelligence